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Abhinay Rk's Projects

amazon-apparel-recommendations icon amazon-apparel-recommendations

recommend fashion products based on the features extracted from image and text, using both distance based algorithms and collaborative filtering techniques.

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

black-friday-sales-prediction icon black-friday-sales-prediction

this a regression model which predicts the purchase of each and every customer. proper EDA was performed on the data before the features were considered,for prediction xg boost was used because of it's robustness and simplicity,further hyper parameter tuning will be done for improving the rmse score.

colorhistogram icon colorhistogram

This program makes use of the python Opencv2 library and generates a Histogram of the image that you provide,

complete-placement-preparation icon complete-placement-preparation

This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.

eda--tutorial icon eda--tutorial

in this notebook all the important analysis and visualizations have been performed on the haberman dataset using different statistical methods, some of which you can use in your next exploratory data analysis.

fairseq-py icon fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

finding-waldo icon finding-waldo

This program uses the Opencv2 library to match the templates and for finding the animated character waldo,in a messy picture

flask-adder icon flask-adder

This flask application accepts 2 integers and displays their sum on the same webpage.

flask-dictionary icon flask-dictionary

This flask application makes use of the Python Dictionary package and renders the meaning of the word on the webpage.

glove.py icon glove.py

Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes

personalized-cancer-diagnosis icon personalized-cancer-diagnosis

Classify the given genetic variations/mutations based on evidence from text-based clinical literature , in this project there were three features which included the gene,variation and text feature , featurizations were performed for each of those features, and they were fed to a model which in the end produced a log-loss of 1.16.

python icon python

All Algorithms implemented in Python

quora-insincere-question-prediction icon quora-insincere-question-prediction

given a semantic glove text vector along with some hand engineered features , the model will predict, whether a question is sincere or not.The model managed a logg-loss score of 0.17, which is phenomenal.the code is written with proper documentation.

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